Reputation: 345
Essentially same question was asked here. But the answer no longer works.
The provided answer (by user @iayork) involved the following codes:
import matplotlib
import seaborn as sns; sns.set()
flights = sns.load_dataset("flights")
flights = flights.pivot("month", "year", "passengers")
g = sns.clustermap(flights)
for l in g.ax_row_dendrogram.lines:
l.set_linewidth(10)
for l in g.ax_col_dendrogram.lines:
l.set_linewidth(10)
But as pointed out by user @iayork this no longer works, the g.ax_col_dendrogram.lines now returns an empty list.
Upvotes: 1
Views: 363
Reputation: 9481
import seaborn as sns
import matplotlib.pyplot as plt
# load data and make clustermap
df = sns.load_dataset('iris')
g = sns.clustermap(df[['sepal_length', 'sepal_width']])
# in newer versions, linecollections, instead of individual lines are used,
# so, loop through those
for a in g.ax_row_dendrogram.collections:
a.set_linewidth(10)
for a in g.ax_col_dendrogram.collections:
a.set_linewidth(10)
Upvotes: 2